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Applied AI Engineer

Arc

Arc

Software Engineering, Data Science
San Francisco, CA, USA · Remote
USD 180k-300k / year + Equity
Posted on Jan 13, 2026

Location

NYC, SF Bay Area, Remote

Employment Type

Full time

Department

Engineering

Compensation

  • $180K – $300K

The total rewards package at Arc includes base salary, equity (stock options), and benefits.

Our cash compensation and equity ranges are based on market data pulled from Pave.

Offers are based on demonstrated experience, expertise, and performance in our interview process, as well as your geographic location and internal pay equity.

Location: Prefer Onsite NYC or SF. Open to exceptional Remote candidates
Employment Type: Full-Time
Hiring Manager: Andrew Rosen, Head of Engineering

About Arc

Arc is building the first AI-native business cash management platform. We empower high-growth companies to manage, analyze, and act on their financial data through a unified cash management, treasury, and debt-financing platform—powered by AI.

Founded in 2021, Arc is backed by world-class investors (Series A), supports thousands of technology companies as customers, and manages billions of dollars in transaction volume. With offices in NYC and SF, we operate on a Monday–Wednesday in-office model (Thu–Fri optional in-office or WFH).

We’re at an inflection point.

Large enough to matter; small enough to innovate.

The Role

We are seeking a Applied AI Engineer to join Arc’s engineering organization. This is a foundational AI role, responsible for driving the research direction, execution, and delivery of Arc’s AI-powered products across both cash management and debt marketplace products.

What You’ll Do

Execution & Product Impact

  • Collaborate with engineering, product, design, and leadership to build and improve AI-powered financial products.

  • Build evaluation frameworks, model-improvement infrastructure, and production-grade AI systems.

  • Rapidly prototype 0→1 and MVP experiences to unlock new value for Arc customers.

  • Ship projects frequently and consistently, with strong bias to action.

Technical Excellence

  • Architect and implement Generative AI applications using:

    • Agentic workflows

    • RAG systems

    • State-of-the-art model leveraging techniques

  • Optimize for inference performance, token efficiency, latency, and cost.

  • Contribute to platform-level systems in Python and Typescript.

What You Bring

Minimum Qualifications

  • 5+ years of engineering experience, including 1+ years building AI-based applications.

  • Advanced degree in Computer Science or related field; Masters/PhD preferred

  • Strong background in Generative AI, LLMs, and modern applied AI toolchains.

  • Demonstrated success building agentic systems, RAG architectures, or state-of-the-art model integrations.

  • Experience building evaluation pipelines for foundational-model applications.

  • Strong software engineering fundamentals.

  • Proven ability to independently drive 0→1, MVP development, and rapid prototyping.

Preferred Experience

  • Startup experience, ideally combined with exposure to 1–2 mid-size or large organizations.

  • Fintech or B2B product experience.

  • Applied AI experience including infra, model improvement loops, and optimization.

  • Python, Typescript, model performance tuning, and workflow automation.

Why Join Arc Now?

  • Category creation: You’ll build the first AI platform for business cash business management.

  • Massive market: Banking + treasury + AI automation is a multi-trillion-dollar opportunity.

  • PMF already secured: Arc has elite customers, strong economics, and hyper-growth.

  • High impact: Staff engineers here are foundational—this role moves the roadmap.

  • Lean, elite team: Work with exceptional builders; every engineer is high-leverage.

Compensation Range: $180K - $300K